Jobs

Machine Learning Engineer (MLE) Apprentice – Dublin
Dublin, County Dublin, Ireland
·
On-site
·
Full-time
·
1w ago
Required Skills
Machine Learning
The Company
Pay Pal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, Pay Pal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.
We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. Pay Pal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.
We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a Pay Pal or Venmo account balance, Pay Pal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our Pay Pal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.
Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.
Job Summary:
Apprenticeship Summary As a Machine Learning Engineer (MLE) Apprentice – Residency 3, you will operate with increased autonomy and ownership, contributing directly to production ML systems that power Pay Pal’s fraud and risk platforms. You will focus on optimizing models, pipelines, and system performance, balancing accuracy, latency, security, and explainability in real-world AI applications.
This residency is designed for apprentices ready to take on end-to-end responsibility for well-scoped ML components and demonstrate readiness for future MLE or New Grad roles.
Job Description:
Additional Responsibilities & Preferred Qualifications:
**Duration:**10 weeks Working Model: Full-time;3 days per week in the Dublin office
Day to Day
· Own and deliver defined components of production ML systems end to end
· Optimize ML models and data pipelines for performance, scalability, and reliability
· Partner with platform and infrastructure teams on deployment and production readiness
· Evaluate trade-offs between model complexity, explainability, and latency
· Implement monitoring, testing, and validation for ML solutions
· Apply security, privacy, and ethical AI principles in system design
· Present outcomes, insights, and recommendations to engineering and leadership audiences
What You Need to Bring
· Currently enrolled in a Computer Science, Engineering, Data Science, AI, or related degree (2nd year)
· Strong foundation in machine learning and software engineering
· Experience building or optimizing ML models and pipelines
· Proficiency in Python and SQL; exposure to distributed or real-time systems is a plus
· Understanding of system design, APIs, and production engineering concepts
· Ability to work independently on complex technical problems
- Strong communication skills and an ownership-driven mindset
- Passion for AI, Fraud and Innovation
Subsidiary:
Pay Pal
Travel Percent:
0
PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. When making an application directly, we will never ask you to share passwords, one-time passcodes (OTP), or verification codes. Any such request is a red flag and likely part of a scam. All communication regarding your application will come from official PayPal email domains. If you suspect fraudulent activity, please report it immediately. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.
For the majority of employees, Pay Pal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the Pay Pal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.
Our Benefits:
At Pay Pal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset-you. That’s why we offer comprehensive, choice-based programs, to support all aspects of personal wellbeing—physical, emotional, and financial—delivering meaningful value where it matters most. We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.
Who We Are:
Click Here to learn more about our culture and community.
Commitment to Diversity and Inclusion
Pay Pal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, Pay Pal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.
Belonging at Pay Pal:
Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at Pay Pal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at Pay Pal.
Any general requests for consideration of your skills, please Join our Talent Community.
We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.
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About PayPal

PayPal
PublicPayPal Holdings, Inc. is an American multinational financial technology company operating an online payments system in the majority of countries that support online money transfers; it serves as an electronic alternative to traditional paper methods such as checks and money orders.
25,000+
Employees
San Jose
Headquarters
$70B
Valuation
Reviews
3.2
24 reviews
Work Life Balance
3.5
Compensation
2.8
Culture
2.5
Career
2.7
Management
2.2
25%
Recommend to a Friend
Pros
Good benefits and company takes care of people
Helpful colleagues and good team environment
Work life balance and flexible culture
Cons
Frequent layoffs and restructuring
Poor management and lack of direction
Low pay increases and compensation issues
Salary Ranges
3 data points
Intern
Intern · MLE Intern
1 reports
-
total / year
Base
$59
Stock
-
Bonus
-
Interview Experience
7 interviews
Difficulty
3.6
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 57%
Negative 43%
Interview Process
1
Application Review
2
Online Assessment
3
Recruiter Screen
4
Technical Interview Rounds
5
System Design Interview
6
Hiring Manager Interview
7
Team Matching
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
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